资源列表
退火算法
- 利用退火算法解决最优化问题，如最多带物品的质量为M，每件物品的质量为mi，价格为yi，怎么做才能带走价值最多的物品？(Annealing algorithm to solve the optimization problem, such as the maximum quality of goods with M, the quality of each item is Mi, the price is Yi, how to do to take away the most valuable i
DoubanMovie250DataMining
- 用于抓取豆瓣电影前250位信息，可增加或修改需要抓取的信息(To crawl the information of Top250 movies in www.douban.com, if you need ,you can edit file to add or change the information you need.)
py脚本
- svm支持向量机，包括训练数据，训练代码和测试代码(SVM support vector machines, welcome to download, including the data set)
kmediod
- k-mediod、knn、uci数据集。 数据挖掘、机器学习中的经典聚类、分类算法(K-mediod, KNN, and UCI data sets. Data mining and classical clustering and classification algorithms in machine learning)
leastSquare
- 最小二乘算法，用于数据处理，图像处理，深度学习等等(Application of weighted least square method to machine vision system)
elilse
- 实现椭圆识别 还有最小二程拟合 等多种功能(Ellipse recognition)
EntropyBoost
- 用于对数据进行归类。把数据按照不同的属性进行归类，并且使归类的精确度越高越好。(used to classify data. Classify data according to different attributes, and make the accuracy of classification better.)
Boosting
- 分类，用于对数据进行归类。把数据按照不同的属性进行归类，并且使归类的精确度越高越好。(Classification; used to classify data. Classify data according to different attributes, and make the accuracy of classification better.)
OTL_AIJ_code
- 基于matlab实现的一个在线迁移学习算法OTL,(Based on matlab to achieve an online migration learning algorithm OTL,)
文本深度挖掘
- 用于分析文档，分析情感指数，正负面情绪，及新闻分类(Used to analyze documents, analyze sentiment, positive and negative emotions, and classify news)
SVD.m
- 利用SVD实现item-based CF: 优点： 简化数据，去除噪声，提高算法的结果 缺点： 数据的转换可能难以理解 适用数据类型： 数值型数据(Svd decomposition plays an important role in the decomposition of eigenvalues of high-dimensional data, while using low-dimensional data for approximate approximation)
dpp
- 通过行列式点过程，可以选取高质量，高多样性的特征(High quality, high diversity features can be selected)